Home About Us Join AIG News Competitions
Past events: JSM 2023, JSM 2022, JSM 2021, JSM 2020
Aug 3-8, 2024
Astrostatistics sessions at JSM
Note: all times are in PDT, Pacific Daylight Time (GMT-7)
We will use an Astrostatistics Interest Group Slack channel to ease communication between the audience and the speakers at the various sessions. In order to be added to this channel, please contact one of the office bearers or write to aigamstat @ gmail.
JSM Astrostatistics Slack Channel
To see news and announcements regarding JSM and the astrostatistics sessions, or to simply ask questions, go to this Slack workspace and go to the #jsm2022 channel.
Session 1873
Monday Aug 5 2024, 8:30am-10:20pm PDT
Astrostatistics Interest Group: Student Paper Award – Topic Contributed Paper Session
Sponsor(s): Astrostatistics Interest Group, Section on Bayesian Statistical Science, SSC (Statistical Society of Canada)
Organizer(s): Joshua Speagle, University of Toronto
Chair(s): Kaisey Mandel, University of Cambridge
-
A Bayesian hierarchical model for the galaxy mass - globular cluster system mass scaling relation for low-mass galaxies Samantha Berek, University of Toronto
-
GausSN: Bayesian Time-Delay Estimation for Strongly Lensed Supernovae
Erin Hayes, University of Cambridge -
Improved Weak Lensing Photometric Redshift Calibration via StratLearn and Hierarchical Modeling
Maximillian Autenrieth, Imperial Collage London -
Stream Members Only: Data-Driven Characterization of Stellar Streams with Mixture Density Networks
Nathanial Starkman, University of Toronto -
Understanding the formation history of the Milky Way disk using Copulas and Elicitable Maps
Aarya Patil, Max Planck Institute for Astronomy
Session 1528
Monday Aug 5 2024, 2:00pm-3:50pm PDT
Computationally Tractable Solutions for Signal Detection in Searches for New Physics – Topic Contributed Paper Session
Sponsor(s): Section on Physical and Engineering Sciences, Astrostatistics Interest Group, Section on Statistical Computing
Organizer(s): Sara Algeri, University of Minnesota
Chair(s): Sara Algeri, University of Minnesota
Discussant(s): Vinay Kashyap, Center for Astrophysics | Harvard and Smithsonian
-
Stellar Flares in Hiding: using hidden Markov models to find stellar flares in time series data from TESS
Gwendolyn Eadie, University of Toronto -
A distribution-free approach to test astrophysical models for angular power spectra
Xiangyu Zhang, University of Minnesota, Twin Cities -
Decorrelated classifiers for robust signal detection at the Large Hadron Collider via Optimal Transport
Purvasha Chakravarti, University College London -
Statistical Methods for Interpretable and Trustworthy Solar Flare Prediction
Hu Sun, University of Michigan, Ann Arbor
Poster Session
Wednesday Aug 7 2023, 10:30am-12:20pm PDT
Contributed Poster Presentations: Astrostatistics Interest Group – Contributed Posters
Sponsor(s): Astrostatistics Interest Group
Chair(s): Ryan Peterson, University of Colorado - Anschutz Medical Campus
-
Frequentist and Bayesian Approaches to Spectral Line Detection in Astronomy
Alexander Kuhn -
Modeling Autoregressive Conditional Regional Extremes with Applications to Solar Flare Detection Steven Moen
Session 1814
Wednesday Aug 7 2023, 10:30am-12:20pm EDT
The Promises and Perils of Long Time: Recent Advances in Astronomical Time Series – Topic Contributed Paper Session
Sponsor(s): Section on Physical and Engineering Sciences, Astrostatistics Interest Group, Section on Statistical Computing
Organizer(s): Aneta Siemiginowska, Harvard-Smithsonian Center for Astrophysics
Chair(s): Yang Chen, University of Michigan
Discussant(s): Vinay Kashyap, Center for Astrophysics | Harvard and Smithsonian
-
Predicting a Multi-Peak Solar Cycle using a Multi-Stage Analysis
Vinay Kashyap, Center for Astrophysics | Harvard & Smithsonian -
Unravelling the Physics of Black Holes Using Astronomical Time Series: From Seconds to Decades
Daniela Huppenkothen, SRON Netherlands Institute for Space Research -
Classifying the Sky with ZTF Ashish Mahabal, Caltech
-
Discovering Anomalous Physics in Realtime V. Ashley Villar, Harvard University
-
Detecting stellar flares using conditional volatility Giovanni Motta, Columbia University